{"title":"A survey on soft computing techniques in epileptic seizure detection","authors":"P. G. K. Prince, R. Hemamalini","doi":"10.1109/INTERACT.2010.5706183","DOIUrl":null,"url":null,"abstract":"This paper provides a survey of different soft computing methods used in epileptic seizure detection from the EEG signal of the patient. The soft computing algorithms discussed here are Neural Network, fuzzy logic and probabilistic reasoning. The methodology, application and accuracy of each method are analyzed.","PeriodicalId":201931,"journal":{"name":"INTERACT-2010","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERACT-2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTERACT.2010.5706183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper provides a survey of different soft computing methods used in epileptic seizure detection from the EEG signal of the patient. The soft computing algorithms discussed here are Neural Network, fuzzy logic and probabilistic reasoning. The methodology, application and accuracy of each method are analyzed.